Microbiome profiles, sleep, and cognition among mid-life Latinx adults

FIU-RCMI研究项目#2 项目摘要 新出现的证据表明，睡眠障碍和肠道变化之间存在双向关系 微生物组本研究旨在探讨睡眠健康和睡眠障碍对认知的影响 同时考虑到肠道微生物组在基于社区的拉丁样本中的作用。尽管 重要的是，研究探索睡眠对肠道微生物组的影响，以及随后对肠道微生物的影响。 人类的认知是非常有限的。在现有的初步调查中， 拉丁裔社区生活样本进行。虽然Latinx样品是两种肠道微生物组的焦点， 这些研究为这一人群独特的肠道微生物组提供了初步证据， 这项研究的创新之处在于它包括认知测量、皮质醇采样和客观测量 睡眠。在国家少数民族健康和健康差异框架研究所的指导下，我们还将 探索可能影响睡眠，认知和肠道的各种影响水平的社会文化因素 微生物组考虑到肠道微生物组可能具有直接的生物学效应，迫切需要进行此类研究。 对认知和睡眠的影响，将其定位为认知能力下降的可改变风险因素。睡眠障碍， 认知能力下降（包括阿尔茨海默病）的一个可改变的风险因素与肠道双向相关 睡眠模式的变化会影响肠道微生物组的结构和多样性， 微生物组对昼夜节律周期和与睡眠和清醒相关的激素有影响。调查 在社区样本中检查微生物群-肠-脑轴对于识别可改变的风险至关重要 认知能力下降的因素，并为新的干预措施提供信息。我们将招募150名拉丁裔中年人， 交错征聘和利用现有资源：共计450项观察结果。每个参与者 将进行一系列神经认知和睡眠评估，并将提供客观的睡眠数据 通过腕戴式活动记录仪，一天内采集3份唾液样本以评估唾液皮质醇， 通过全基因组鸟枪测序来检查肠道微生物组。利用这些数据，我们将 检查四个目标：目标1。使用综合微生物组分析，我们将研究肠道 微生物组概况和认知测量。目标二。我们将研究双变量关系， 睡眠和肠道微生物组概况。目标3a：我们将研究睡眠与 认知.目标3b：我们将研究肠道微生物组特征、 认知和睡眠，使用两种中介模型。目标4：我们将研究肠道与 微生物组概况、压力（唾液皮质醇）、认知测量和睡眠。综合分析 肠道微生物组，认知，通过唾液皮质醇和睡眠测量的压力，我们的研究将是 最早探索肠道微生物组多样性，微生物概况，压力，认知， 和睡眠进行未来生命历程的纵向研究，并了解随着时间的推移而变化的影响。

FIU-RCMI Research Project #2 Project Summary Emerging evidence suggests a bidirectional relationship between sleep disturbance and alterations in the gut microbiome. This study aims to examine the effect of sleep health and dysfunction in influencing cognition while accounting for the role of the gut microbiome in a community-based Latinx sample. Despite its importance, studies exploring the effect of sleep on the gut microbiome, and the subsequent effect on the cognition of humans are extremely limited. Of the preliminary investigations that do exist, none have been conducted with Latinx community-living samples. While Latinx samples were the focus of two gut microbiome studies, which provided preliminary evidence for the unique gut microbiome of this population, our proposed study is innovative in that it includes cognitive measures, cortisol sampling, and objective measures of sleep. Guided by the National Institutes of Minority Health and Health Disparities Framework, we will also explore sociocultural factors at various levels of influence that may impact sleep, cognition, and the gut microbiome. There is an urgent need for studies of this kind given that the gut microbiome may have a direct effect on cognition and sleep, positioning it as a modifiable risk factor for cognitive decline. Sleep disturbance, a modifiable risk factor for cognitive decline, including Alzheimer's disease, is bidirectionally-related to the gut microbiome, variations in sleep patterns affect the structure and diversity of the gut microbiome, and the gut microbiome is influential in circadian cycles and hormones related to sleep and waking. Investigations examining the microbiota-gut-brain axis are essential in community-based samples to identify modifiable risk factors for cognitive decline and inform novel interventions. We will recruit 150 Latinx midlife adults through staggered recruitment and leveraging our existing resources: for a total of 450 observations. Each participant will be administered a battery of neurocognitive and sleep assessments and will provide objective sleep data through a wrist-worn actigraphy device, 3 saliva samples in one day to assess salivary cortisol, and a stool sample to examine the gut microbiome through whole-genome shotgun sequencing. Using this data, we will examine four aims: Aim 1. Using integrated microbiome analyses, we will examine correlations between gut microbiome profiles, and measures of cognition. Aim 2. We will examine the bivariate relationship between sleep and gut microbiome profiles. Aim 3a: We will examine the relation between sleep and measures of cognition. Aim 3b: We will examine the interconnections between gut microbiome profiles, measures of cognition, and sleep using two mediation models. Aim 4: We will examine the interrelations between gut microbiome profiles, stress (salivary cortisol), measures of cognition, and sleep. Using an integrated analysis of the gut microbiome, cognition, stress through salivary cortisol, and sleep measurements, our study will be among the first to explore the interrelations of gut microbiome diversity, microbial profiles, stress, cognition, and sleep to conduct future life course longitudinal studies and understand the changing effects over time.